An Algorithm for Dual Transformation in First-Order Logic
Journal of Automated Reasoning
Dynamic Social Knowledge: A Comparative Evaluation
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
UFSC-Team: A Cognitive Multi-agent Approach to the RoboCup'98 Simulator League
RoboCup-98: Robot Soccer World Cup II
From a Concurrent Architecture to a Concurrent Autonomous Agents Architecture
RoboCup-99: Robot Soccer World Cup III
A Proof Strategy Based on a Dual Representation
AISC '00 Revised Papers from the International Conference on Artificial Intelligence and Symbolic Computation
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The adopted cooperation strategy is one of the most important aspects to make an agent community achieve a common goal. Basically there are two kinds of cooperation strategies for cognitive multi-agent systems: contract net protocol and negotiation. Contract net protocol requires a small amount of knowledge about the other agents in the community, but it is not possible to persuade another agent to perform a given task or to join some agents in an agent group to perform a given task during a cooperation process. On the other hand, negotiation allows an agent to communicate directly with another agent. This direct communication allows agreements when the optimal solution is not available, but the required amount of social knowledge and the communication overhead needed to update it is much greater than in the contract net protocol. In this paper, a new cooperation strategy for open cognitive autonomous multi-agent systems, called Dynamic Social Knowledge is proposed. This strategy combines the advantages of both, contract net protocol and negotiation, and makes an intensive use of rule-based reasoning.